Trial reporteLife2017
High performance communication by people with paralysis using an intracortical brain-computer interface.
Trial report in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00912041 (BrainGate2), which is not on this map. Cited by 226 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
BrainGate2: Feasibility Study of an Intracortical Neural Interface System for Persons With Tetraplegia
Who cites it
226 citing papers in PubMed, 1 synthesis or guideline pooled it, 573 citations in OpenAlex.
- Toward the Clinical Translation of Implantable Brain-Computer Interfaces for Motor Impairment: Research Trends and Outcome Measures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Pooled it
- Speech motor cortex enables BCI cursor control and click.Journal of neural engineering · 2025Trial
- Virtual reality-based training may improve visual memory and some aspects of sustained attention among healthy older adults - preliminary results of a randomized controlled study.BMC psychiatry · 2024Trial
- Interim Safety Profile From the Feasibility Study of the BrainGate Neural Interface System.Neurology · 2023Trial
- Speech-related dorsal motor cortex activity does not interfere with iBCI cursor control.Journal of neural engineering · 2020Trial
- Volitional control of single-electrode high gamma local field potentials by people with paralysis.Journal of neurophysiology · 2019Trial
- Generalizable neural decoding for clinically scalable brain-computer interfaces.npj biomedical innovations · 2026Review
- In conversation with Sergey Stavisky.Nature neuroscience · 2026Article
- Restoring rapid natural bimanual typing with a neuroprosthesis after paralysis.Nature neuroscience · 2026Article
- Article
- Assistive algorithms influence neural representations in motor brain-computer interfaces.Nature communications · 2026Article
- Preparatory encoding of intended movement in the human motor cortex and implications for brain-computer interfaces.Current biology : CB · 2026Article
- Towards neuromorphic neurotechnologies: integrating brain-inspired computing with brain-computer interfaces.npj biomedical innovations · 2026Review
- Frequency-dependent effects of motor thalamus deep brain stimulation on speech and swallowing.Nature communications · 2026Article
- Learning-related population dynamics in right and left dorsal premotor cortex during typing skill acquisition.bioRxiv : the preprint server for biology · 2026Article
- Cyborg-swarm cooperation and game via affective-based brain-machine interface.National science review · 2026Article
- Long-term unsupervised recalibration of cursor-based intracortical brain-computer interfaces using a hidden Markov model.Nature biomedical engineering · 2026Article
- Long-term independent use of an intracortical brain-computer interface for speech and cursor control.Nature medicine · 2026Article
- Intracortical BCI Performance is Robust to Changes in Attentional Load During Dual-Tasking.bioRxiv : the preprint server for biology · 2026Article
- Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation.Nature biomedical engineering · 2026Article
166 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 1 country.
Funding
Abstract
Brain-computer interfaces (BCIs) have the potential to restore communication for people with tetraplegia and anarthria by translating neural activity into control signals for assistive communication devices. While previous pre-clinical and clinical studies have demonstrated promising proofs-of-concept (Serruya et al., 2002; Simeral et al., 2011; Bacher et al., 2015; Nuyujukian et al., 2015; Aflalo et al., 2015; Gilja et al., 2015; Jarosiewicz et al., 2015; Wolpaw et al., 1998; Hwang et al., 2012; Spüler et al., 2012; Leuthardt et al., 2004; Taylor et al., 2002; Schalk et al., 2008; Moran, 2010; Brunner et al., 2011; Wang et al., 2013; Townsend and Platsko, 2016; Vansteensel et al., 2016; Nuyujukian et al., 2016; Carmena et al., 2003; Musallam et al., 2004; Santhanam et al., 2006; Hochberg et al., 2006; Ganguly et al., 2011; O'Doherty et al., 2011; Gilja et al., 2012), the performance of human clinical BCI systems is not yet high enough to support widespread adoption by people with physical limitations of speech. Here we report a high-performance intracortical BCI (iBCI) for communication, which was tested by three clinical trial participants with paralysis. The system leveraged advances in decoder design developed in prior pre-clinical and clinical studies (Gilja et al., 2015; Kao et al., 2016; Gilja et al., 2012). For all three participants, performance exceeded previous iBCIs (Bacher et al., 2015; Jarosiewicz et al., 2015) as measured by typing rate (by a factor of 1.4-4.2) and information throughput (by a factor of 2.2-4.0). This high level of performance demonstrates the potential utility of iBCIs as powerful assistive communication devices for people with limited motor function.Clinical Trial No: NCT00912041.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.